In this issue, vol. 27, issue 6, June 2023, 15 papers are published related to the to the topic Imaging Informatics. Please click here to view them, with link in IEEE XPLORE.
Repeated Photobiomodulation-Induced Reduction of Bilateral Cortical Hemodynamic Activation during a Working Memory Task in Healthy Older Adults.
Transcranial photobiomodulation (tPBM) has emerged as a promising non-invasive, light-based neuromodulation technique with significant potential for improving cognitive function in older adults. However, the neurophysiological mechanisms responsible for tPBM-induced cognitive enhancements, as well as the persistence of these improvements, remain largely unknown. A recent study by Hu et al. at Beijing Normal University takes an important step toward revealing the neural foundations of tPBM-induced cognitive enhancement in healthy older adults.
Sixty-one older adults underwent a baseline sham tPBM, followed by a week of daily 12-minute active tPBM sessions (1064-nm laser, 250 mW/cm2) and three weeks of follow-up. Researchers used fNIRS imaging to record cortical hemodynamic changes during the N-back working memory task at different time points. The findings showed that tPBM reduced cortical hemodynamic activation in the right hemisphere during the 3-back task, specifically in the right frontal eye field, supramarginal gyrus, and visual cortex 3. By Day 7, effects were expanded to both hemispheres, involving broader brain regions such as bilateral premotor cortex and supplementary motor area, bilateral somatosensory association cortex, left angular gyrus, right primary somatosensory cortex, supramarginal gyrus, and visual cortex 3, and persisted for up to two weeks. Importantly, these activation changes were accompanied by significantly improved task accuracy during the N-back.
Hu et al.’s study provides important neurophysiological evidence for underpinning cognitive enhancement following tPBM treatment, setting stage for the development of non-invasive neuromodulatory interventions aimed at tackling cognitive aging. As we strive to discover cutting-edge solutions to enhance cognitive health in our rapidly aging population, understanding the neurophysiological basis of interventions like tPBM is essential for creating more effective and targeted approaches to support cognitive well-being.
Hu, Zhishan; Qu, Xiujuan; Li, Lexuan; Zhou, Xiaohan; Yang, Qin; Dong, Qi; Liu, Hesheng; Li, Xiaobo; Han, Ying; Niu, Haijing.
A Two-Branch Neural Network for Short-Axis PET Image Quality Enhancement.
Fu, Minghan; Wang, Meiyun; Wu, Yaping; Zhang, Na; yang, yongfeng; Wang, Haining; Zhou, Yun; Yue, Shang; WU, FangXiang; Zheng, Hairong; Liang, Dong; Hu, Zhanli.
ULFAC-Net: Ultra-Lightweight Fully Asymmetric Convolutional Network for Skin Lesion Segmentation.
Ma, Yuliang; wu, liping; Gao, Yunyuan; Gao, Farong; zhang, jianhai; Luo, Zhizeng.
Variable Augmented Network for Invertible Modality Synthesis and Fusion.
Wang, Yuhao; Liu, Ruirui; Li, Zihao; Wang, Shanshan; Yang, Cailian; Liu, Qiegen.
Self-supervised Tumor Segmentation with Sim2Real Adaptation.
Zhang, Xiaoman; Xie, Weidi; Huang, Chaoqin; Zhang, Ya; Chen, Xin; Tian, Qi; Wang, Yanfeng.
Microscopic Hyperspectral Image Classification Based on Fusion Transformer with Parallel CNN.
Zeng, Weijia; Li, Wei; Zhang, Mengmeng; Wang, Hao; Lv, Meng; Yang, Yue; Tao, Ran.
M-CSAFN: Multi-color Space Adaptive Fusion Network for Automated Port-wine Stains Segmentation.
Mu, Jinrong; LIN, YUCONG; Meng, Xianqi; Fan, Jingfan; Ai, Danni; Chen, Defu; Qiu, Haixia; Yang, Jian; Gu, Ying.
Toward Right Ventricle Segmentation in Cardiac MRIs via Feature Multiplexing and Multi-scale Weighted Convolution.
Liu, Jinping; Li, Mengke; Gong, Subo; Mohammadzadeh, Ardashir; Yang, Guangyi.
Cardiac Adipose Tissue Segmentation via Image-Level Annotations.
Huang, Ziyi; Gan, Yu; Lye, Theresa; Liu, Yanchen; Zhang, Haofeng; Laine, Andrew; Angelini, Elsa; Hendon, Christine.
Coco-attention for Tumor Segmentation in Weakly Paired Multimodal MRI Images.
Zhou, Pei; Li, Yanfeng; CHEN, Houjin; Peng, Yahui.
SDPN: A Slight Dual-Path Network With Local-Global Attention Guided For Medical Image Segmentation.
Wu, Qiang; wang, jing; Li, Shuyi; Yu, LuYue; Qu, aixi; Wang, qing; Liu, Ju.
GCCN: Graph Capsule Convolutional Network for Progressive Mild Cognitive Impairment Prediction and Pathogenesis Identification Based on Imaging Genetic Data.
Shang, Junliang; Zou, Qi; Ren, Qianqian; Guan, Boxin; Li, Feng; Liu, Jin-Xing; Sun, Yan.
Attention-Guided Autoencoder for Automated Progression Prediction of Subjective Cognitive Decline with Structural MRI.
Guan, Hao; Yue, Ling; Yap, Pew-Thian; Xiao, shifu; Bozoki, Andrea; Liu, Mingxia.
A Structure-guided Effective and Temporal-lag Connectivity Network for Revealing Brain Disorder Mechanisms.
Zhengwang, Xia; Zhou, Tao; Mamoon, Saqib; Alfakih, Amani; Lu, Jianfeng.
VLTENet: A Deep-Learning-Based Vertebra Localization and Tilt Estimation Network for Automatic Cobb Angle Estimation.
Zou, Lulin; Guo, Lijun; Zhang, Rong; Ni, Lixin; Chen, Zhenzuo; He, Xiuchao; Wang, Jianhua.